The Algorithmic Lens: Understanding How Social Media Shapes Contemporary Notions Of Health And Taste

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Aarjavi Vora, Vishwa Shah, Jaimini Yagnik

Abstract

This secondary research paper presents an analysis of the far-reaching ramifications of social media algorithms in shaping the perceptions of health and taste that exist within today's world. Through its research, this paper aims to explore how algorithms influence the concept of beauty, life choices, and health practices among social media users. In conducting its research, it aims to synthesize vital information in the three major areas that work as critical points for an individual's influence through algorithmic amplification, the creation of beauty and life content, and finally, the psychological, social, cultural, and public health effects that both occur and influence users. This paper relies on information gathered from interdisciplinary sources that encompass studies within the areas of communications, psychology, public health, and digital sociology studies. This paper aims to demonstrate that these algorithmic structures generate feedback mechanisms that work both in democratizing and homogenizing perceptions regarding health and beauty among social users. This research seeks to conclude that though social platforms present an innovative way for users to learn from multiple aspects of health-related information, algorithmically structured platforms tend to promote extreme content, generate echo chambers, and promote unhealthy models of beauty.

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How to Cite
Aarjavi Vora, Vishwa Shah, Jaimini Yagnik. (2026). The Algorithmic Lens: Understanding How Social Media Shapes Contemporary Notions Of Health And Taste. European Economic Letters (EEL), 16(1), 451–458. https://doi.org/10.52783/eel.v16i1.4155
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